Xiaoli Wang

Xiaoli Wang


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 November 2020 in Pathogens
Verified
Journal Article
Open access
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FMFeng Mei
Feng Mei
MXMengru Xie
Mengru Xie
XHXiaofei Huang
Xiaofei Huang
YLYanlin Long
Yanlin Long
XLXiaofeng Lu
Xiaofeng Lu
LCLili Chen
Lili Chen
The relationship between periodontitis and systemic diseases, notably including atherosclerosis and diabetes, has been studied for several years. Porphyromonas gingivalis, a prominent component of oral microorganism communities, is the main pathogen that causes periodontitis. As a result of the extensive analysis of this organism, the evidence of its connection to systemic diseases has become more apparent over the last decade. A significant amount of research has explored the role of Porphyromonas gingivalis in atherosclerosis, Alzheimer’s disease, rheumatoid arthritis, diabetes, and adverse pregnancy outcomes, while relatively few studies have examined its contribution to respiratory diseases, nonalcoholic fatty liver disease, and depression. Here, we provide an overview of the current state of knowledge about Porphyromonas gingivalis and its systemic impact in an aim to inform readers of the existing epidemiological evidence and the most recent preclinical studies. Additionally, the possible mechanisms by which Porphyromonas gingivalis is involved in the onset or exacerbation of diseases, together with its effects on systemic health, are covered. Although a few results remain controversial, it is now evident that Porphyromonas gingivalis should be regarded as a modifiable factor for several diseases.

9 December 2025 in Current Medical Science
Verified
Journal Article
Open access
PDF file
LPLi Pu
Li Pu
HWHuan-Huan Wang
Huan-Huan Wang
XCXiang-Wei Cheng
Xiang-Wei Cheng
LLLi-Bo Luo
Li-Bo Luo
XZXiao-Qing Zhang
Xiao-Qing Zhang
PWPei-Hong Wang
Pei-Hong Wang
Objective: Non-communicable diseases (NCDs), characterized by long duration, gradual progression, and high morbidity, have emerged as a fundamental threat to global public health. Furthermore, dramatic climate change may exacerbate existing trends that worsen the burden of NCDs. Therefore, this study aimed to systematically investigate the patterns and trends of NCDs attributed to nonoptimal temperatures from 1990 to 2021. Methods: We utilized data from the Global Burden of Disease Study (GBD) 2021 to assess the temporal trends in age-standardized rates (ASR) of deaths and disability-adjusted life-years (DALYs) related to nonoptimal temperature-associated NCDs across 204 countries and territories from 1990 to 2021. Decomposition analysis was applied to quantify the contribution of key factors to this burden. The autoregressive integrated moving average (ARIMA) model was employed to predict trends over the next decade. Results: Globally in 2021, NCDs attributable to high temperature (Hi-Tem) accounted for an estimated 302,464.7 deaths (95% uncertainty interval [UI]: 171,170.6, 472,625.3) and 6,947,660.6 DALYs (95% UI: 4,013,964.7, 10,611,801.7). The ASR of Hi-Tem-related NCDs deaths and DALYs increased by 35% and 34% between 1990 and 2021. Additionally, the global burden exhibited a significant declining trend in NCDs burden caused by low temperature (Lo-Tem), with 1,477,729.8 (95% UI: 1,316,829.3, 1,631,404.8) deaths and 27,797,533.3 (95% UI: 25,270,393.5, 30,766,299.9) DALYs in 2021. China and India had the highest number of deaths and DALYs for NCDs related to Hi-Tem and Lo-Tem. In 2021, the three leading causes of the NCDs burden attributable to nonoptimal temperature were ischemic heart disease, stroke, and chronic obstructive pulmonary disease. Men and older adults were consistently vulnerable to temperature, showing the greater burden of NCDs attributable to nonoptimal temperature, and aging would exacerbate this trend. The ARIMA model projected an increasing trend in Hi-Tem-related NCDs over the coming decade, while those related to Lo-Tem would show a downward trend. Conclusion: The burden of NCDs associated with Hi-Tem has conspicuously increased in recent years compared to that associated with Lo-Tem, with significant diversity across age, sex, and socio-demographic index (SDI) levels. Therefore, public health strategies should prioritize tailored interventions for heterogeneous risk profiles across vulnerable populations, integrated with climate-resilient surveillance systems and real-time adaptive response mechanisms to mitigate projected climate-mediated exacerbations of NCD burden.